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Calculate five risk or opportunity indicators for an agricultural field

Source: R/bbwp_field_indicators.R
bbwp_field_indicators.Rd

These include indicators: for limited efficiency of nitrogen and phosphorus; a high risk is also indicative of high potential to improve NUE. for the potential to buffer and store water and efficiently use water for plant growth. for the risk for nitrogen and phosphorus leaching and runoff to surface water. for the risk for nitrate leaching to groundwater.

Usage

bbwp_field_indicators(
  D_NGW_SCR,
  D_NGW_LEA,
  D_NGW_NLV,
  D_NSW_SCR,
  D_NSW_GWT,
  D_NSW_RO,
  D_NSW_SLOPE,
  D_NSW_WS,
  D_NSW_NLV,
  D_PSW_SCR,
  D_PSW_GWT,
  D_PSW_RO,
  D_PSW_SLOPE,
  D_PSW_WS,
  D_PSW_PCC,
  D_PSW_PSG,
  D_PSW_PRET,
  D_NUE_WRI,
  D_NUE_PBI,
  D_NUE_WDRI,
  D_NUE_NLV,
  D_WUE_WWRI,
  D_WUE_WDRI,
  D_WUE_WHC,
  penalty = TRUE,
  D_GW_GWR
)

Arguments

D_NGW_SCR

(numeric) The relative score of soil compaction risk for N loss to groundwater

D_NGW_LEA

(numeric) The relative score of nitrate leaching risk for N loss to groundwater

D_NGW_NLV

(numeric) The relative score of N mineralization for N loss to groundwater

D_NSW_SCR

(numeric) The relative score of soil compaction risk for N loss to surface water

D_NSW_GWT

(numeric) The relative score of soil wetness for N loss to surface water

D_NSW_RO

(numeric) The relative score of runoff risks for N loss to surface water

D_NSW_SLOPE

(numeric) The relative score of runoff risks for N loss to surface water given slope

D_NSW_WS

(numeric) The relative score of wet surrounding for N loss to surface water

D_NSW_NLV

(numeric) The relative score of N mineralization for N loss to surface water

D_PSW_SCR

(numeric) The relative score of soil compaction risk for P loss to surface water

D_PSW_GWT

(numeric) The relative score of soil wetness for P loss to surface water

D_PSW_RO

(numeric) The relative score of runoff risks for P loss to surface water

D_PSW_SLOPE

(numeric) The relative score of runoff risks for P loss to surface water given slope

D_PSW_WS

(numeric) The relative score of wet surrounding for P loss to surface water

D_PSW_PCC

(numeric) The relative score of P levels in soil solution for P loss to surface water

D_PSW_PSG

(numeric) The relative score of P saturation degree for P loss to surface water

D_PSW_PRET

(numeric) The relative score of P retention capacity for P loss to surface water

D_NUE_WRI

(numeric) The relative score of soil water stress for improved efficiency of N and P inputs

D_NUE_PBI

(numeric) The relative score of P availability for improved efficiency of N and P inputs

D_NUE_WDRI

(numeric) The relative score of drought stress for improved efficiency of N and P inputs

D_NUE_NLV

(numeric) The relative score of N mineralization for improved efficiency of N and P inputs

D_WUE_WWRI

(numeric) The relative score of soil wetness stress for improved efficiency of water

D_WUE_WDRI

(numeric) The relative score of drought stress for improved efficiency of water

D_WUE_WHC

(numeric) The relative score of drought stress for improved efficiency of water

penalty

(boolean) the option to apply a penalty for high risk BBWP field indicators

D_GW_GWR

(numeric) The evaluated score for groundwater recharge

Value

A data.table with five columns: D_RISK_NGW, D_RISK_NSW, D_RISK_PSW, D_RISK_NUE, and D_RISK_WB. The number of rows corresponds with the number of fields given as input i.e. the length of the vector inputs

Details

bbwp_field_indicators is typically called after bbwp_field_properties which calculates the inputs for bbwp_field_indicators

Examples

# example with 6 fields
bbwp_field_indicators(
D_NGW_SCR = seq(0, 1, by = 0.2),
D_NGW_LEA = seq(0, 1, by = 0.2),
D_NGW_NLV = seq(0, 1, by = 0.2),
D_NSW_SCR = seq(0, 1, by = 0.2),
D_NSW_GWT = seq(0, 1, by = 0.2),
D_NSW_RO = seq(0, 1, by = 0.2),
D_NSW_WS = seq(0, 1, by = 0.2),
D_NSW_NLV = seq(0, 1, by = 0.2),
D_NSW_SLOPE = seq(0, 1, by = 0.2),
D_PSW_SCR = seq(0, 1, by = 0.2),
D_PSW_GWT = seq(0, 1, by = 0.2),
D_PSW_RO = seq(0, 1, by = 0.2),
D_PSW_WS = seq(0, 1, by = 0.2),
D_PSW_PCC = seq(0, 1, by = 0.2),
D_PSW_PSG = seq(0, 1, by = 0.2),
D_PSW_PRET = seq(0, 1, by = 0.2),
D_PSW_SLOPE = seq(0,1,by = 0.2),
D_NUE_WRI = seq(0, 1, by = 0.2),
D_NUE_PBI = seq(0, 1, by = 0.2),
D_NUE_WDRI = seq(0, 1, by = 0.2),
D_NUE_NLV = seq(0, 1, by = 0.2),
D_WUE_WWRI = seq(0, 1, by = 0.2),
D_WUE_WDRI = seq(0, 1, by = 0.2),
D_WUE_WHC = seq(0, 1, by = 0.2),
penalty = FALSE,
D_GW_GWR = seq(0, 1, by = 0.2)
)
#>    D_RISK_NGW D_RISK_NSW D_RISK_PSW D_RISK_NUE D_RISK_WB D_RISK_GWR
#>         <num>      <num>      <num>      <num>     <num>      <num>
#> 1:        0.0       0.01       0.01        0.0       0.0        0.0
#> 2:        0.2       0.10       0.10        0.2       0.2        0.2
#> 3:        0.4       0.40       0.40        0.4       0.4        0.4
#> 4:        0.6       0.60       0.60        0.6       0.6        0.6
#> 5:        0.8       0.80       0.80        0.8       0.8        0.8
#> 6:        1.0       1.00       1.00        1.0       1.0        1.0